Title of article
Evaluation of loading efficiency of azelaic acid-chitosan particles using artificial neural networks
Author/Authors
-، - نويسنده Nanobiotechology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran Hanafi, Ali , -، - نويسنده Nanobiotechology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran Kamali, Mehdi , -، - نويسنده Nanobiotechology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran Darvishi, Mohammad Hasan , -، - نويسنده Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran|Medical Biomaterials Research Center, Tehran University of Medical Sciences, Tehran, Iran Amani, Amir
Issue Information
فصلنامه با شماره پیاپی 0 سال 2016
Pages
10
From page
169
To page
178
Abstract
-
Abstract
Objective(s): Chitosan, a biodegradable and cationic polysaccharide with increasing applications in biomedicine, possesses many advantages including mucoadhesivity, biocompatibility, and low-immunogenicity. The aim of this study, was investigating the influence of pH, ratio of azelaic acid/chitosan and molecular weight of chitosan on loading efficiency of azelaic acid in chitosan particles. Materials and Methods: A model was generated using artificial neural networks (ANNs) to study interactions between the inputs and their effects on loading of azelaic acid. Results: From the details of the model, pH showed a reverse effect on the loading efficiency. Also, a certain ratio of drug/chitosan (~ 0.7) provided minimum loading efficiency, while molecular weight of chitosan showed no important effect on loading efficiency.Conclusion: In general, pH and drug/chitosan ratio indicated an effect on loading of the drug. pH was the major factor affecting in determining loading efficiency.
Journal title
Nanomedicine Journal
Serial Year
2016
Journal title
Nanomedicine Journal
Record number
2397514
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